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From sudhakar <sudha...@co.brazos.tx.us>
Subject Re: exponential increase in insert time
Date Sun, 07 Oct 2007 16:43:06 GMT

I added bulk insert functionality which is straight jdbc to the database
and performance is more normal now.

When I get some downtime I will pursue why JPA slows this down. It's
only one table with 9 columns of type String and int.


Dyre.Tjeldvoll@Sun.COM wrote:
> sudhakar <sudhakar@co.brazos.tx.us> writes:
>> I'm using embedded derby in a Java SE application with OpenJPA. The
>> applications parses a text file and creates JPA entity objects which it
>> then turns around and persists in the embedded derby database using JPA.
> A general observation: The more fancy frameworks you put between your
> code and the jdbc/SQL calls, the harder it will be to identify
> performance problems. It's the price you pay for ease of
> development. There is no free lunch I'm afraid. 
>> It starts of with inserting about 15 records per second and
>> exponentially drops down to about one record every 25 seconds by the
>> 400th record. I haven't tuned any of the derby parameters. 
> You should definitely swing by the Derby web-site and make sure you
> have done all the simple stuff. What you're describing sounds
> unreasonable to me, but there is really no way to tell unless you say
> how large your records are, and what the database schema looks like.
>>> Before I
>> started getting into that I wanted to run this by here to find out if
>> this is the out-of-box expected performance. It doesn't look right. The
>> insert time per record increases exponentially.
>> Can someone confirm that if something is awfully wrong here and how I
>> can go about troubleshooting this. The text file is about 90000 records.
>> So this exponential performance decrease would be completely
>> unacceptable to the end-user.
> Sounds like something is wrong, yes. One thing you could try is to
> turn on logging of SQL statments (derby.language.logStatementText see
> the Tuning Guide), to see what actually happens during the insert.

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